AI 中文总结
本文介绍一种基于Python的开源工具，用于识别电网变流器输出导纳。该工具基于开源模拟器，采用正弦扫描稳态信号注入法，开发解析模型验证结果，与商业工具对比显示其能准确识别导纳，代码示例可在线获取以支持重复验证。
AI 中文摘要
基于变流器输出导纳的频域分析是研究电网中变流器驱动稳定性的关键工具。本文提出了一种基于Python的识别工具，它构建在完全开源的模拟器上，无需MATLAB或PSCAD等商业许可证，并通过MIT许可的堆栈提高了可配置性。识别方法采用正弦扫描的稳态信号注入，从时域仿真中推导频域导纳。为并网（基于扰动观测器）和跟网（基于锁相环）控制开发了解析输出导纳模型以验证数值结果。该工具的结果与基于商业PSCAD的替代方案进行了比较，证明了在各种控制方法中导纳识别的准确性。代码和示例可在线获取以支持可重复性。
英文摘要
Frequency-domain analysis based on converter output admittance is a key tool for studying converter-driven stability in power grids. This paper presents a Python-based identification tool built on a completely open-source simulator, eliminating the need for commercial licenses such as MATLAB or PSCAD and improving configurability through an MIT-licensed stack. The identification method uses steady-state signal injection with a sinusoidal sweep, deriving frequency-domain admittance from time-domain simulations. Analytical output-admittance models are developed for both grid-forming (disturbance-observer-based) and grid-following (phase-locked-loop-based) control to verify the numerical results. The tool's results are compared against a commercial PSCAD-based alternative, demonstrating accurate admittance identification across control methods. Code and examples are available online to support reproducibility.
